SlimFL: Federated Learning With Superposition Coding Over Slimmable Neural Networks

Yun, Won Joon; Kwak, Yunseok; Baek, Hankyul; Jung, Soyi; Ji, Mingyue; Bennis, Mehdi; Park, Jihong; Kim, Joongheon

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SlimFL: Federated Learning With Superposition Coding Over Slimmable Neural Networks

Version 2 2024-06-02, 15:02

Version 1 2023-02-21, 04:38

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posted on 2024-06-02, 15:02 authored by Won Joon Yun, Yunseok Kwak, Hankyul Baek, Soyi Jung, Mingyue Ji, Mehdi Bennis, Jihong ParkJihong Park, Joongheon Kim

SlimFL: Federated Learning With Superposition Coding Over Slimmable Neural Networks

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Journal

IEEE-ACM TRANSACTIONS ON NETWORKING

Volume

31

Pagination

2499-2514

Publisher DOI

https://doi.org/10.1109/TNET.2022.3231864

ISSN

1063-6692

eISSN

1558-2566

Language

English

Author URL

https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000910552100001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a045e4b2bb1f2b747c68c720ec8913b7

Publication classification

C1 Refereed article in a scholarly journal

Issue

6

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC

Publication URL

http://dx.doi.org/10.1109/tnet.2022.3231864

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Keywords

ACCESS Computer Science Computer Science, Hardware & Architecture Computer Science, Theory & Methods Engineering Engineering, Electrical & Electronic Federated learning heterogeneous devices Science & Technology slim-mable neural network Technology Telecommunications

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SlimFL: Federated Learning With Superposition Coding Over Slimmable Neural Networks

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